Power management for multirate DS-CDMA systems with imperfect successive interference cancellation. - Shirin Jalali; Babak Hossein Khalaj (ICC, 2004)

Power control for multirate CDMA systems with imperfect successive interference cancellation. - Shirin Jalali; Babak Hossein Khalaj (WCNC, 2004)

A Universal Wyner-Ziv Scheme for Discrete Sources. - Shirin Jalali; Sergio Verdú; Tsachy Weissman (ISIT, 2007)

New Bounds on the Rate-Distortion Function of a Binary Markov Source. - Shirin Jalali; Tsachy Weissman (ISIT, 2007)

Near optimal lossy source coding and compression-based denoising via Markov chain Monte Carlo. - Shirin Jalali; Tsachy Weissman (CISS, 2008)

Rate-distortion via Markov chain Monte Carlo. - Shirin Jalali; Tsachy Weissman (ISIT, 2008)

Power Control for Multirate DS-CDMA Systems With Imperfect Successive Interference Cancellation. - Shirin Jalali; Babak Hossein Khalaj (IEEE Trans. Veh. Technol., 2008)

Multiple description coding of discrete ergodic sources. - Shirin Jalali; Tsachy Weissman (Allerton, 2009)

An Implementable Scheme for Universal Lossy Compression of Discrete Markov Sources. - Shirin Jalali; Andrea Montanari; Tsachy Weissman (DCC, 2009)

An iterative scheme for near optimal and universal lossy compression. - Shirin Jalali; Andrea Montanari; Tsachy Weissman (ITW, 2009)

On equivalence between network topologies. - Tracey Ho; Michelle Effros; Shirin Jalali (Allerton, 2010)

On the separation of lossy source-network coding and channel coding in wireline networks. - Shirin Jalali; Michelle Effros (ISIT, 2010)

A universal scheme for Wyner-Ziv coding of discrete sources. - Shirin Jalali; Sergio Verdú; Tsachy Weissman (IEEE Trans. Inf. Theory, 2010)

Minimum complexity pursuit. - Shirin Jalali; Arian Maleki (Allerton, 2011)

On distortion bounds for dependent sources over wireless networks. - Shirin Jalali; Michelle Effros (ISIT, 2011)

On the impact of a single edge on the network coding capacity. - Shirin Jalali; Michelle Effros; Tracey Ho (ITA, 2011)

Minimum complexity pursuit: Stability analysis. - Shirin Jalali; Arian Maleki; Richard G. Baraniuk (ISIT, 2012)

On Capacity Region of Wiretap Networks - Shirin Jalali; Tracey Ho (CoRR, 2012)

Block and Sliding-Block Lossy Compression via MCMC. - Shirin Jalali; Tsachy Weissman (IEEE Trans. Commun., 2012)

Lossy Compression of Discrete Sources via the Viterbi Algorithm. - Shirin Jalali; Andrea Montanari; Tsachy Weissman (IEEE Trans. Inf. Theory, 2012)

Denoising via MCMC-Based Lossy Compression. - Shirin Jalali; Tsachy Weissman (IEEE Trans. Signal Process., 2012)

From compression to compressed sensing. - Shirin Jalali; Arian Maleki (ISIT, 2013)

On expected capacity of multicarrier frequency hopping systems. - Zolfa Zeinalpour-Yazdi; Shirin Jalali (IWCIT, 2013)

Outage analysis of uplink open access two-tier networks. - Zolfa Zeinalpour-Yazdi; Shirin Jalali (IWCIT, 2014)

Universal Compressed Sensing of Markov Sources. - Shirin Jalali; H. Vincent Poor (CoRR, 2014)

Outage Performance of Uplink Two-tier Networks Under Backhaul Constraints. - Shirin Jalali; Zolfa Zeinalpour-Yazdi; H. Vincent Poor (CoRR, 2014)

Outage Analysis of Uplink Two-Tier Networks. - Zolfa Zeinalpour-Yazdi; Shirin Jalali (IEEE Trans. Commun., 2014)

Minimum Complexity Pursuit for Universal Compressed Sensing. - Shirin Jalali; Arian Maleki; Richard G. Baraniuk (IEEE Trans. Inf. Theory, 2014)

Outage performance of uplink two-tier networks under backhaul constraint. - Shirin Jalali; Zolfa Zeinalpour-Yazdi; H. Vincent Poor (ICC, 2015)

Separation of Source-Network Coding and Channel Coding in Wireline Networks. - Shirin Jalali; Michelle Effros (IEEE Trans. Inf. Theory, 2015)

Universal compressed sensing. - Shirin Jalali; H. Vincent Poor (ISIT, 2016)

Rate-distortion dimension of stochastic processes. - Farideh Ebrahim Rezagah; Shirin Jalali; Elza Erkip; H. Vincent Poor (ISIT, 2016)

Using compression codes in compressed sensing. - Farideh Ebrahim Rezagah; Shirin Jalali; Elza Erkip; H. Vincent Poor (ITW, 2016)

New approach to Bayesian high-dimensional linear regression. - Shirin Jalali; Arian Maleki (CoRR, 2016)

Minimum entropy pursuit: Noise analysis. - Shirin Jalali; H. Vincent Poor (ICASSP, 2017)

Compressed sensing of compressible signals. - Sajjad Beygi; Shirin Jalali; Arian Maleki; Urbashi Mitra (ISIT, 2017)

An efficient algorithm for compression-based compressed sensing. - Sajjad Beygi; Shirin Jalali; Arian Maleki; Urbashi Mitra (CoRR, 2017)

Compressive Phase Retrieval of Structured Signal. - Milad Bakhshizadeh; Arian Maleki; Shirin Jalali (CoRR, 2017)

Linear Time Clustering for High Dimensional Mixtures of Gaussian Clouds. - Dan Kushnir; Shirin Jalali; Iraj Saniee (CoRR, 2017)

Universal Compressed Sensing for Almost Lossless Recovery. - Shirin Jalali; H. Vincent Poor (IEEE Trans. Inf. Theory, 2017)

Compression-Based Compressed Sensing. - Farideh Ebrahim Rezagah; Shirin Jalali; Elza Erkip; H. Vincent Poor (IEEE Trans. Inf. Theory, 2017)

Compressive Phase Retrieval of Structured Signals. - Milad Bakhshizadeh; Arian Maleki; Shirin Jalali (ISIT, 2018)

Compressive Imaging Via One-Shot Measurements. - Shirin Jalali; Xin Yuan 002 (ISIT, 2018)

Theoretical links between universal and Bayesian compressed sensing algorithms. - Shirin Jalali (CoRR, 2018)

Effect of Backhaul Constraints on Uplink Femtocell Networks. - Zolfa Zeinalpour-Yazdi; Shirin Jalali; H. Vincent Poor (IEEE Trans. Veh. Technol., 2018)

Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time. - Dan Kushnir; Shirin Jalali; Iraj Saniee (AISTATS, 2019)

Solving linear inverse problems using generative models. - Shirin Jalali; Xin Yuan 002 (ISIT, 2019)

Towards theoretically-founded learning-based denoising. - Wenda Zhou; Shirin Jalali (ISIT, 2019)

Efficient Deep Approximation of GMMs. - Shirin Jalali; Carl J. Nuzman; Iraj Saniee (NeurIPS, 2019)

Using auto-encoders for solving ill-posed linear inverse problems. - Shirin Jalali; Xin Yuan 002 (CoRR, 2019)

Denoising of structured random processes. - Wenda Zhou; Shirin Jalali (CoRR, 2019)

Efficient Deep Learning of GMMs. - Shirin Jalali; Carl J. Nuzman; Iraj Saniee (CoRR, 2019)

Snapshot Compressed Sensing: Performance Bounds and Algorithms. - Shirin Jalali; Xin Yuan 002 (IEEE Trans. Inf. Theory, 2019)

Solving Inverse Problems via Auto-Encoders. - Pei Peng 001; Shirin Jalali; Xin Yuan 002 (IEEE J. Sel. Areas Inf. Theory, 2020)

Using Black-Box Compression Algorithms for Phase Retrieval. - Milad Bakhshizadeh; Arian Maleki; Shirin Jalali (IEEE Trans. Inf. Theory, 2020)

Toward Theoretically Founded Learning-Based Compressed Sensing. - Shirin Jalali (IEEE Trans. Inf. Theory, 2020)

Incremental maximum likelihood estimation for efficient adaptive filtering. - Shirin Jalali; Carl J. Nuzman; Yue Sun (CoRR, 2022)

Compressed Sensing in the Presence of Speckle Noise. - Wenda Zhou; Shirin Jalali; Arian Maleki (IEEE Trans. Inf. Theory, 2022)

Theoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems. - Mengyu Zhao; Shirin Jalali (Allerton, 2023)

Deep Unfolding for Snapshot Compressive Imaging. - Ziyi Meng; Xin Yuan 002; Shirin Jalali (Int. J. Comput. Vis., 2023)

Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise. - Xi Chen; Zhewen Hou; Christopher A. Metzler; Arian Maleki; Shirin Jalali (ICML, 2024)

Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms. - Mengyu Zhao; Xi Chen; Xin Yuan; Shirin Jalali (NeurIPS, 2024)

Untrained Neural Nets for Snapshot Compressive Imaging: Theory and Algorithms. - Mengyu Zhao; Xi Chen; Xin Yuan 002; Shirin Jalali (CoRR, 2024)

Corrections to "Compressed Sensing in the Presence of Speckle Noise". - Wenda Zhou; Shirin Jalali; Arian Maleki (IEEE Trans. Inf. Theory, 2024)

Monte-Carlo Based Efficient Image Reconstruction in Coherent Imaging With Speckle Noise. - Xi Chen; Christopher A. Metzler; Arian Maleki; Shirin Jalali (ISBI, 2025)

Theoretical Characterization of Effect of Masks in Snapshot Compressive Imaging. - Mengyu Zhao; Shirin Jalali (SIAM J. Imaging Sci., 2025)

Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems. - Eric Chen; Xi Chen; Arian Maleki; Shirin Jalali (CoRR, 2025)

Bayesian Despeckling of Structured Sources. - Ali Zafari; Shirin Jalali (CoRR, 2025)

Saturation in Snapshot Compressive Imaging. - Mengyu Zhao; Shirin Jalali (CoRR, 2025)

DeCompress: Denoising via Neural Compression. - Ali Zafari; Xi Chen; Shirin Jalali (CoRR, 2025)

Multilook Coherent Imaging: Theoretical Guarantees and Algorithms. - Xi Chen; Soham Jana; Christopher A. Metzler; Arian Maleki; Shirin Jalali (CoRR, 2025)

Zero-shot denoising via neural compression: Theoretical and algorithmic framework. - Ali Zafari; Xi Chen; Shirin Jalali (CoRR, 2025)